Director Digital Analytics – Data (m/f/d)

Date posted:
Company: Adidas
Location: Herzogenaurach (BY), N/A
Job Type: Full-Time

adidas is looking for a Director of Digital Analytics to lead Data Product Ownership, driving data product development and adoption, and ensuring maximum usage and value of our Consumer and Commercial data assets.  As a Director you will lead our analytical engineering efforts through various stages of development from start-up & learn to build-out & scale, requiring you to balance innovation and business impact continuously.  This position requires someone with a solid background in managing analytical product development, with high data literacy, and a strong understanding of DTC sales strategies and e-commerce operations.  Your work will enable our global and local Ecom communities to maximize sales and profit and deliver best-in-class consumer experiences.


As a Director of Digital Analytics – Data you drive the strategy, development and adoption of best in class data and analytical products.  You’re the strategic interface to various global and local stakeholders for Digital data.  You’re accountable for managing the lifecycle of your data products.  And you are continuously focused on building a high performing team and data-driven culture at adidas.


  • Develop strategies and lead product development for areas such as data provisioning, data platform evolution, self-service capabilities, and performance diagnostics automation
  • Lead product teams toward pro-active definition of new functionalities & best practices
  • Partner with markets to define a multi-year roadmap for driving Ecom data foundations for analytics
  • Constantly screen the Digital ecosystem for cutting edge partners, platforms or other innovative solutions that could help us mature our practice
  • Lead the establishment of a fact-based culture in the organization by promoting, defining, and implementing objective data driven decision processes within your product area
  • Be accountable for product delivery in line with Digital targets and roadmap committments
  • Identify and solve dependencies within and beyond your product area to ensure efficient delivery


  • Balance the voices of your various stakeholders, including those who play a larger role in the growth and ownership of the product as well as the engineering teams who are building it, through consistent alignment and objective consensus
  • Ensure everyone understands and agrees on the key aspects of the product area:  the vision, the outputs and the outcomes
  • Conduct regular feedback sessions with stakeholders at all levels and think strategically about who your stakeholders are, what they need, and how to talk to them in order to remain ‘stakeholder relevant’
  • Educate key stakeholders on the value and use of data capabilities within their teams and organizations
  • Manage relationships outside the product area to ensure that the product teams can work autonomously and efficiently


  • Define appropriate KPIs and a measurement framework to evaluate performance across your data products
  • Manage the lifecycle of your data products end-to-end, from ingestion and transformation, usage and adoption, retention and provisioning, to deprecation
  • Aim to continuously improve the quality and reduce the cycle time of data products in your product area


  • Build the appropriate structure to be able to manage the respective product area effectively, identify and develop future talent, and create realistic succession scenarios for key positions
  • Ensure appropriate leadership skills are present at every level by creating a motivational and supportive work environment in which employees are coached, trained and provided with career opportunities through development
  • Continuously monitor and evaluate team workload and organizational efficiency with the support of data and team feedback and make appropriate changes in order to meet business needs
  • Provide team members with clear direction and targets that are aligned with the product area’s goals and objectives 


  • Global Digital and Digital Analytics teams
  • Market Analytics teams
  • Data & Analytics and Tech
  • Data Privacy


  • University degree in the field of Business, IT, Behavioural Sciences, or equivalent
  • 8+ years of professional experience in multi-national Digital and/or eCommerce environment
  • Proven track record of successful data product development at a Digital or eCommerce company
  • 4+ years of professional experience as a Product Owner in data and analytics working with and leading data scientists, data analysts and data engineering teams  


  • Hands-on experience in analytics, statistics, data analysis, and analytics engineering
  • Hands-on experience in relevant eCommerce disciplines like Digital marketing, trading and merchandising, and membership
  • At ease creating business cases to support investment opportunities and objectively measuring impact and making decisions
  • Ability to think broadly and contribute beyond your area of expertise
  • Strategic mindset and ability to prioritize and delegate
  • Ability to handle ambiguity and untangle complex scope into actionable tasks
  • High resilience and solution oriented attitude
  • A passion for learning and helping others learn
  • Outstanding communication and presentation skills